Hyokun Yun
Research Scientist at Meta
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolHyokun Yun is a research scientist and machine learning practitioner with 11 years of experience building large-scale distributed ML systems, personalized recommendation engines, and social network analysis tools. He holds a PhD in Statistics from Purdue and has a track record of publishing at top venues (NIPS, AISTATS, VLDB, WWW) while translating research into production at Amazon and now Meta. At Amazon he progressed from applied scientist roles to principal scientist, delivering scalable optimization and inference solutions for real-world products. His background as a quantitative researcher in finance and early work in social network mining give him a rare blend of rigorous statistical modeling and production-grade engineering. Based in Seattle, he pairs deep algorithmic expertise with strong data visualization and applied-statistics skills to drive impact across research and product teams.
11 years of coding experience
14 years of employment as a software developer
BS Industrial Engineering, BS Industrial Engineering at Pohang University of Science and TechnologyPh. D Statistics, Ph. D Statistics at Purdue University
English, Korean
Github Skills (4)
rcpp10
r-package10
cran9
r8
Programming languages (1)
Github contributions (5)
cruiseling/SuperGaussian
Feb 2015 - Jan 2017
Contributions:4 pushes, 1 branch in 1 year 11 months
cruiseling/Factor-Analysis
Mar 2018 - Feb 2019
Contributions:1 push in 11 months
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